Analytics Platform Engineer

Cursor1 weeks ago

Location

San Francisco

Type

Full Time

Salary

USD 180,000 – 250,000

Level

Senior

Role

Analytics Platform Engineer

Posted

May 28, 2026

Full TimeSenior

The role

Summary

Cursor is seeking an experienced Analytics Platform Engineer to build and optimize foundational data infrastructure for a fast-growing AI-powered software development platform. The role involves creating scalable, secure, and high-performance data systems that support company-wide data needs across multiple teams, with a focus on TB-scale data ingestion, orchestration, and platform reliability.

What you'll do

Data Infrastructure Optimization: Own and optimize the raw data layer, improving performance, reliability, and cost-efficiency of TB-scale first-party data ingestion

Orchestration Management: Scale and maintain data orchestration infrastructure using tools like Dagster to support data scientists and analytics engineers

Security and Compliance: Implement and maintain robust security and privacy controls for data platforms and agent-based data capabilities

Tooling Evaluation: Assess and implement data tools that solve real stakeholder needs, including BI platforms, data catalogs, and ETL systems

Cross-Team Collaboration: Partner with technical and non-technical teams to develop scalable platform solutions for recurring data challenges

What we look for

Technical

Data Platform Experience4+ years of full-time data platform engineering experience

Infrastructure DepthProven ability to build modern data stacks at a low level

Scale HandlingExperience scaling performant ingestion of billions of data points daily

Education

Computer ScienceBachelor's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Data EngineeringExtensive experience in building and managing large-scale data infrastructure

Pipeline OrchestrationDemonstrated expertise in data pipeline orchestration for large user bases

Skills

Required skills

Data Platform EngineeringExpertise in building and managing large-scale data infrastructure

DatabricksExperience with Databricks lakehouse infrastructure

Data IngestionAbility to build and optimize high-performance data ingestion systems

Infrastructure as CodeExperience with codifying infrastructure and access controls

Data OrchestrationProficiency in data pipeline orchestration tools

Nice to have

DagsterExperience with Dagster orchestration platform

Data SecurityStrong understanding of data privacy and security frameworks

Cloud InfrastructureExperience with modern cloud data stack technologies

Compensation & benefits

Salary

USD 180,000 – 250,000 (annual)

Stock options

Available

Benefits

Health Insurance

Comprehensive medical, dental, and vision coverage

Equity

Stock options in a fast-growing AI startup

Professional Development

Budget for conferences, training, and continuous learning

Remote Flexibility

Option to work from San Francisco or New York office

Cutting-Edge Technology

Work on innovative AI and data platform technologies

Interview process

1
Initial Screening — Phone or video call with recruiting team to assess basic qualifications and role fit
2
Technical Phone Interview — Detailed discussion of data engineering experience and technical capabilities
3
Technical Challenge — Hands-on coding and system design challenge related to data platform engineering
4
Onsite Interviews — Series of technical interviews with data platform and engineering team members
5
Final Leadership Interview — Discussion with senior leadership about vision, approach, and cultural fit